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Justin Kadi

Environmental Data Scientist

Modified

November 12, 2026

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Welcome!

I’m Justin Kadi, an environmental data scientist working at the National Center for Ecological Analysis and Synthesis (NCEAS) at UC Santa Barbara as a Projects Data Coordinator. I work with NSF’s Arctic Data Center (ADC), where I curate and publish 340+ TB of Arctic research data, and on the Permafrost Discovery Gateway (PDG), where I process and visualize pan-Arctic permafrost datasets.

I’m broadly interested in the intersection of data science with environmental and climate science. Currently, I’m learning more about geospatial data processing and its use cases in environmental projects.

Before coming to NCEAS, I researched physics-informed deep learning models for streamflow forecasting at UC Berkeley, built short-term weather forecast ensembles at ClimateAi, and developed a semantic search system for mission documents at NASA Ames. All these experiences contributed to my excitement for the potential impacts of data and computational methods in our understanding of our planet.

Interests

  • Arctic & permafrost science
  • Geospatial data processing & visualization
  • Machine learning for earth systems
  • Reproducible & scalable research workflows

Education

B.A. Data Science, emphasis in Earth Science
University of California, Berkeley, 2021

Study Abroad, Statistics & Mathematics
Lund University, Sweden

Skills

  • Programming: Python, R, bash, SQL
  • Software: QGIS, Cesium, Git
  • Languages: Indonesian (fluent), Japanese (conversational)

Service

  • NCEAS DEIJ Seminar Planning Lead (2023–present)
  • UC Berkeley Data Science Career Mentor (2025–2026)